Datasetpublic

OpenScientificCodeRegistry/Database

Open Scientific Code Registry (OSCR): the authors' scripts The code published by the authors of open-access neuroscience papers, as found and verified by Open Scientific Code Registry (OSCR). Each file is here exactly as it is at the source, at the verified commit, under the license of its repository. 421,275 unique files (3,782 MB of text) from 8,849 repositories, in 24 Parquet block(s). Only files whose repository's license allows redistribution, confirmed by the repository's… See the full description on the dataset page: https://huggingface.co/datasets/OpenScientificCodeRegistry/Database.

sourceHugging Faceotherupdated 2d agoView on Hugging Face

0likes5.6kdownloads

rootmanifests39github.com__phantom-fs__herbify-modules.json

github.com__phantom-fs__herbify-modules.json246 linesDownload Raw Back to 39

1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/phantom-fs/herbify-modules",4 "url": "https://github.com/Phantom-fs/Herbify-Modules",5 "host": "github.com",6 "commit": "2b09d8a743552e7c19c9dec271175049c822d443",7 "license": "MIT",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11  {12   "path": "Ensemble/1_Mobile_ViTB.ipynb",13   "sha256": "3e5f7d40a1d28da04c7489f253bc185751a1dba26d7410536179d8d28b7ca6a1",14   "language": "Jupyter",15   "lines": 477,16   "truncated": false,17   "block": 22,18   "row": 1340619  },20  {21   "path": "Ensemble/2_VGG19_ViTB.ipynb",22   "sha256": "066af9b1a677134fcd34e2455709a7f146e676ba9eb184f6d0f93edf47feab4b",23   "language": "Jupyter",24   "lines": 472,25   "truncated": false,26   "block": 22,27   "row": 1339328  },29  {30   "path": "Ensemble/3_Res152_ViTL.ipynb",31   "sha256": "813a22eed94d43c09968faefa6aa500abea9517198e4a5ca693e18238044294a",32   "language": "Jupyter",33   "lines": 477,34   "truncated": false,35   "block": 22,36   "row": 1340437  },38  {39   "path": "Ensemble/4_Effi_ViTL.ipynb",40   "sha256": "9bd434c9390a0cba2ade43921134ec37ce5de6a685cde244d0062311ea68b1ec",41   "language": "Jupyter",42   "lines": 477,43   "truncated": false,44   "block": 22,45   "row": 1340746  },47  {48   "path": "Ensemble/5_Mobile_VGG19_ViTB.ipynb",49   "sha256": "b1e779b965629b2d682ef95f19db8f094eac58b4ad0a3fb17b173a3c2779ab72",50   "language": "Jupyter",51   "lines": 497,52   "truncated": false,53   "block": 22,54   "row": 1344755  },56  {57   "path": "Ensemble/6_Res152_Effi_ViTL.ipynb",58   "sha256": "6bf23e0634cd8e89122711b52fedde2f0f7d99236fe15294ea9e567cf023269b",59   "language": "Jupyter",60   "lines": 497,61   "truncated": false,62   "block": 22,63   "row": 1344664  },65  {66   "path": "Ensemble/7_Mobile_Effi_VGG19_ViTB.ipynb",67   "sha256": "25bb38aba187b39938c6a02bc4ff5fbb229ebba2fa5968bf304099e5c4540908",68   "language": "Jupyter",69   "lines": 516,70   "truncated": false,71   "block": 22,72   "row": 1347773  },74  {75   "path": "Ensemble/8_Res152_Effi_VGG19_ViTL.ipynb",76   "sha256": "9a8556920d38f0120520fcbaab4c48b7a7f6f097768d0c957584de7e9a2ab3b0",77   "language": "Jupyter",78   "lines": 516,79   "truncated": false,80   "block": 22,81   "row": 1347182  },83  {84   "path": "Fine-Tuning/EfficientNet/EfficientNet_v2_Large.ipynb",85   "sha256": "1f5982de7040164928556cfe43accd17d0b8d3ebee89f8dce910e96c0d907de9",86   "language": "Jupyter",87   "lines": 436,88   "truncated": false,89   "block": 22,90   "row": 1335791  },92  {93   "path": "Fine-Tuning/MobileNet/MobileNet_v3_Large.ipynb",94   "sha256": "e7d6dc67e5f0d13b2950981786c6d0623ff0bc4437df817b40f7224fb13b19e2",95   "language": "Jupyter",96   "lines": 437,97   "truncated": false,98   "block": 22,99   "row": 13360100  },101  {102   "path": "Fine-Tuning/ResNet/ResNet152.ipynb",103   "sha256": "3c09ab539e51e0b9c3ae621ce7dafb51a2065aaf22e494727a7748eb0b2aa69b",104   "language": "Jupyter",105   "lines": 436,106   "truncated": false,107   "block": 22,108   "row": 13347109  },110  {111   "path": "Fine-Tuning/VGG/VGG16.ipynb",112   "sha256": "f25bfccce9edc396abfea0140c6f12c6982402c8c24bc1cab50fbf95c2778ce0",113   "language": "Jupyter",114   "lines": 437,115   "truncated": false,116   "block": 22,117   "row": 13352118  },119  {120   "path": "Fine-Tuning/VGG/VGG19.ipynb",121   "sha256": "828e31fe24db5ab6112f68e27f31294bdfe4d1542c8e6be9d11a22b8baff1914",122   "language": "Jupyter",123   "lines": 437,124   "truncated": false,125   "block": 22,126   "row": 13351127  },128  {129   "path": "Fine-Tuning/ViT/ViT_B_16_e2e.ipynb",130   "sha256": "e1821d71f0b41f8c63b115da2dc612c38e971d152422d5c6c1fa3eaf48a3d781",131   "language": "Jupyter",132   "lines": 443,133   "truncated": false,134   "block": 22,135   "row": 13363136  },137  {138   "path": "Fine-Tuning/ViT/ViT_B_16_v1.ipynb",139   "sha256": "1e8a8b531f0aec4545d4d086dfdce6d1b74cf0bf37d4867539ec90c563e167d9",140   "language": "Jupyter",141   "lines": 438,142   "truncated": false,143   "block": 22,144   "row": 13356145  },146  {147   "path": "Fine-Tuning/ViT/ViT_L_16_e2e.ipynb",148   "sha256": "2e42fb8be27364aa3cab58efee2c633309ac48846591c65a124bf43616c0d319",149   "language": "Jupyter",150   "lines": 438,151   "truncated": false,152   "block": 22,153   "row": 13359154  },155  {156   "path": "Fine-Tuning/ViT/ViT_L_16_v1.ipynb",157   "sha256": "f6da6ff5ea5f1126cde59c6f4d318a585784b3daebc9c2d2dfc872892259f7cc",158   "language": "Jupyter",159   "lines": 443,160   "truncated": false,161   "block": 22,162   "row": 13362163  },164  {165   "path": "LICENSE",166   "sha256": "af933c3f1b87eeb7dd932161d794743351ce5833f5239a18a56b4a12498ff66b",167   "language": "License",168   "lines": 21,169   "truncated": false,170   "block": 22,171   "row": 13972172  },173  {174   "path": "Optimal-Hyperparameters/Optimal_Hyperparameters_Grid_Search.ipynb",175   "sha256": "4dd92e8b5970ac1b8e22b30befe593ccee290d8638b3ccc5fb2343fde8a1dba0",176   "language": "Jupyter",177   "lines": 297,178   "truncated": false,179   "block": 22,180   "row": 13241181  },182  {183   "path": "Preprocessing/Augmentation/dataset_augmentation_A.ipynb",184   "sha256": "3a69a68c6910666ce453932242c4f1b43c4f047e98319b124db18b805147c441",185   "language": "Jupyter",186   "lines": 114,187   "truncated": false,188   "block": 22,189   "row": 12605190  },191  {192   "path": "Preprocessing/Augmentation/dataset_augmentation_B.ipynb",193   "sha256": "7f072657d827ba2b55234adb7c894a4397747e7c680c6cf182cfbec4ca3aa176",194   "language": "Jupyter",195   "lines": 112,196   "truncated": false,197   "block": 22,198   "row": 12619199  },200  {201   "path": "Preprocessing/Augmentation/dataset_augmentation_C.ipynb",202   "sha256": "3428d809c2cdd15dc80c3f1f763e21b7c37e6b40481dbd99433d14d8638adb3f",203   "language": "Jupyter",204   "lines": 101,205   "truncated": false,206   "block": 22,207   "row": 12574208  },209  {210   "path": "Preprocessing/Data_Split/Data_Split.ipynb",211   "sha256": "d0a6802e41cbf1446f8f18091d9ccd27460c024ebf0a0e7f3ee155f652a79614",212   "language": "Jupyter",213   "lines": 93,214   "truncated": false,215   "block": 22,216   "row": 12608217  },218  {219   "path": "Preprocessing/PAHD_Preprocessing_Algorithm_for_Herb_Detection/Preprocessing_PAHD.ipynb",220   "sha256": "5ea7365bc1f60840e23bd4edea29b8504c5fc64654992bbf24ac857454128e54",221   "language": "Jupyter",222   "lines": 115,223   "truncated": false,224   "block": 22,225   "row": 12733226  },227  {228   "path": "Preprocessing/PAHD_Preprocessing_Algorithm_for_Herb_Detection/Single_Image_Example.ipynb",229   "sha256": "ca2a0cda916143dd5f0cf6dc99706a3f9f22024efc33fca904b0f2c81a4a151e",230   "language": "Jupyter",231   "lines": 106,232   "truncated": false,233   "block": 22,234   "row": 12618235  },236  {237   "path": "README.md",238   "sha256": "aae26068780daf8eb9905e22e064ea5665cf91bc3b56f20a2f2daff462aecc70",239   "language": "Text",240   "lines": 95,241   "truncated": false,242   "block": 24,243   "row": 670244  }245 ]246}